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A Riddle That 99% Of Large Language Models Get Wrong
Artificial Intelligence   Latest   Machine Learning

A Riddle That 99% Of Large Language Models Get Wrong

Author(s): Meng Li

Originally published on Towards AI.

Meng Li creates with DALL·E 3

I have delved deeply into numerous large language models, but with each new model release, there always comes a slew of tedious benchmark tests.

To be honest, these academic evaluations are nearly incomprehensible to the average user, akin to reading an arcane script.

I’ve always wondered, is there a simpler way to reveal a model’s reasoning ability with just one question?

After countless trials and validations, I’ve finally found such an intriguing question, which acts like a riddle:“I hang 7 shirts out to dry in the Sun. After 5 hours, all shirts are dry. The next day I hang 14 shirts out to dry. The conditions are the same. How long will it take to dry 14 shirts? Take a deep breath and proceed step by step.”

Next, I will use 6 large models to answer this question, let’s witness their performance together!

The answer is at the end of the article.

However, don’t rush to see the answers, first ponder it yourself, and see if you can outsmart these large models.

Introducing Sora: Creating video from text

Meng Li uses the interface

Answer: 5 hours.

Google recently released the Gemma open-source AI model.

For specific usage, you can refer to this article:

Recently, they released two… Read the full blog for free on Medium.

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Published via Towards AI

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